48 Pandas jobs available for remote work from home. Apply for positions such as Account Manager, Small Business, Data Scientist, Data Analyst (Payments) , and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Drive revenue growth and manage a portfolio of SMB clients by identifying expansion opportunities and ensuring high retention rates. Collaborate with cross-functional teams to deliver exceptional customer experiences and provide accurate revenue forecasts.
The Data Scientist will apply advanced analytical, statistical, and machine learning techniques to analyze complex datasets and develop predictive models. They will collaborate with stakeholders to translate business requirements into actionable data-driven solutions.
You will build and manage the payment analytics infrastructure, including reconciliation logic, risk metrics, and revenue forecasting. You will also analyze payment conversion, unit economics, and provide actionable insights to support financial decision-making.
The Data Scientist will serve as an embedded analytics partner to product teams, designing experiments and building predictive models to drive business outcomes. They will also produce original research and cross-network benchmarks while converting recurring analyses into documented dashboards and pipelines.
Design and implement a Python-based tool using LLMs and machine learning to automate data quality checks for vendor data sets. Collaborate with software engineers and data managers to develop dashboards for data quality coverage and compliance.
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Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
You will develop, maintain, and optimize Python-based applications and GenAI agents while managing infrastructure using Infrastructure as Code. Additionally, you will collaborate with global stakeholders to resolve integration issues and contribute to innovation within the engineering organization.
Develop and deploy advanced machine learning models for 3D spatial analysis of human body scans to drive healthcare and sports performance insights. Collaborate with cross-functional teams to integrate these solutions into production infrastructure while ensuring scientific rigor and data validation.
The Data Analyst will design and maintain interactive dashboards, automate business processes, and build custom applications to support data-driven decision-making. They will also collaborate with stakeholders to translate business needs into technical solutions and communicate analytical findings effectively.
Drive revenue growth and retention within a portfolio of commercial customers by building strong relationships and identifying expansion opportunities. Collaborate cross-functionally with teams like Customer Success and Product to ensure seamless customer experiences and provide accurate revenue forecasting.
You will design and build a next-generation multi-tenant data platform using Python and SQL Server. This involves migrating legacy stored procedures into testable Python code and integrating modern data sources like Snowflake.
The Solution Partners Manager will own and grow the partner ecosystem by managing strategic relationships and driving co-selling initiatives. They will act as the primary point of contact for partners, facilitating deal reviews and enabling partners with resources to scale revenue.
You will own and deliver end-to-end computer vision projects, including equipment defect detection and thermal anomaly identification for power grid infrastructure. Additionally, you will bridge the gap between research and production by adapting novel algorithms and building scalable data pipelines.
The Senior Analyst will analyze medical and pharmacy claims to develop data products that support pricing, quality, and compliance initiatives. They will also collaborate with cross-functional teams to resolve data issues, automate workflows, and deliver actionable insights for organizational decision-making.
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The intern will develop and deploy predictive AI models and Generative AI solutions to support various business functions including R&D, Finance, and Manufacturing. They will also collaborate on full-stack development and build user interfaces to facilitate data-driven decision-making.
The role involves conducting product analysis, designing and evaluating A/B tests, and partnering with product managers and engineers to define key metrics. You will also be responsible for answering ad hoc insight questions and iterating on team processes.
Analyze product usage and customer behavior across the LeadGen suite to identify trends, friction points, and growth opportunities. Partner with Product Managers to size opportunities, validate hypotheses, and build dashboards that track key product metrics.
![Smart Working Solutions is hiring for remote Lead Data Engineer (Contract, Full-Time) [HR208] (PK)](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
You will architect and scale data infrastructure, including real-time pipelines and vector databases, to support an AI-driven property management platform. Additionally, you will act as the founding data hire to establish engineering standards, best practices, and the data team culture.
Design, develop, and maintain data engineering solutions using Python and Azure services while building scalable pipelines for data processing. Collaborate with multidisciplinary teams to develop business-oriented solutions and integrate internal and external systems via APIs.
You will own the end-to-end research loop, from raw data and desk ideas to building, training, and validating deep-learning models. You are responsible for managing your own compute infrastructure and ensuring models are effectively integrated into daily trading operations.
The Full Stack Engineer will maintain and enhance applications that integrate AI, data analytics, and big data. They will collaborate on architecting new solutions and managing CI/CD pipelines across cloud platforms.
You will architect and build scalable data infrastructure to support AI-driven operational platforms for property management. This role involves defining data engineering standards, managing real-time pipelines, and collaborating with cross-functional teams to translate data capabilities into product decisions.
The LINC Fellow will provide subject matter guidance, tutoring, and assessment marking for a group of 25-30 online students. They are also responsible for managing discussion forums and providing proactive, personalized support to students.
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You will design, build, and maintain the calculation logic and infrastructure for the Economics engine using modern Python. You will own features end-to-end, from scoping and design through to deployment and monitoring on cloud infrastructure.
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
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